We have no data about the future... I design & de-risk growth strategies, new ventures/products, JVs, VC/PE/M&A deals with Yotta Model (business constellations)
It is easy to feel trapped by your ‘Zone of Competence’: things you are good at doing, but do not love.
I spent 15 years doing that.
To truly find meaning in your work, focus on your ‘Zone of Genius’ instead:
The world of homo sapiens is indeed a curious land, for we seek to control organizations, societies, economies and nature with minds that cannot control their own thoughts and emotions for thirty seconds.
Richard Smith, who edited BMJ for 13 years, on the state of health research: "It may be time to move from assuming that research has been honestly conducted and reported to assuming it to be untrustworthy until there is some evidence to the contrary."
https://t.co/A1YoQdGQYi
The world crawls with greedy men of narrow mind, brutal heart, and blind eye who tear the world apart for profit. At times we call it progress. At times we call it prosperity. At times we call it liberty. At times we call it just. It is time to call it what it is - - - insanity!
My first company @twitch sold for a billion dollars.
My second one lost $75 million in 36 months.
People love talking about success, but today I'm going to talk about failure.
It's time to be honest about Atrium:
I’ve noticed that some founders really “get” org design / process design. More than the average org design nerd like you or I. They sweat this stuff and think about it daily
If you have less than 3 hours to spare & want to learn (almost) everything about state-of-the-art explainable ML, this thread is for you! Below, I am sharing info about 4 of our recent tutorials on explainability presented at NeurIPS, AAAI, FAccT, and CHIL conferences. [1/n]
I've started 2 consumer brands (@kettleandfire and @perfectketones) that each have done $100mm+ in sales in less than 5 years.
If you’re starting a consumer brand, here are the 7 key areas to focus (thread):
"Data-driven decision-making" is like driving a car by looking into rear-view mirror only - we have data only about the past, never about the future. In the end reality always wins - whether it's reflected in the data we have or not. We better do "reality-driven decision-making".
In 5-10 years, parts of AI may become the new asbestos.
The current widespread & uncritical use of “AI” may end up in class-action suits, regulation or bans of parts of AI, once their side effects, systemic impacts & collateral damage on people and society are better understood.
A good analysis of startup failures. Unfortunately, like almost all such analyses, it focuses on symptoms and avoids the most critical inner drivers:
- intents
- skillsets
- attitudes, values, mental models and decision-making patterns
of the founders and the core team.
Most of us engineer success by trying to replicate success patterns. Makes sense. But what if studying failure patterns has an equally important role?
Today's @NFX analysis w/ @teisenmann of @HarvardHBS breaks down the 6 patterns of startup failure:
https://t.co/A98cNrIaIk
@NielsPflaeging Thank you for the link and idea exchange! I'm describing systemic impacts of managements on companies at the level of morphic fields which few people are aware of but which have major impact on results. This topic requires lot more space than what Twitter allows, unfortunately.
@NielsPflaeging Internal context is created by mgmt's behaviours, beliefs & patterns, so it's included. Outside context is vis maior, but responses to outside influences are created by mgmt. The logic is weaker the larger the Co, and when owners or mgmt team just took over the Co.
“Company culture” is a direct reflection of conscious & unconscious behaviours, beliefs & cognitive/mental models of those who run the company - few people are willing & able to revise & change them, that’s why few company cultures can change under the same management team.
Languge is a useful tool for everyday communication, but it becomes a prison if we use it to understand ourselves, people, nature and Life at deeper levels. For these, direct reality sensing/perception through inner vision/feelings/smell/taste/sounds work far better.
Thanks to AI advances, many people will finally discover one of the most prevalent unconscious cognitive patterns we all exhibit: projecting our own unconscious patterns (beliefs, needs, filters, expectations, etc.) on outside world, both on objects and on other people.
@edleonklinger A lot of people see GPT-3 outputs and fall victim to anthropomorphic bias : ascribing humanlike characteristics, usually mental properties or agency, to things that do not have it.